Evidence map›Paper›PMID 35684605›Full record

ReviewSensors (Basel, Switzerland)2022

Investigating the Knuckleball Effect in Soccer Using a Smart Ball and Training Machine.

David Eager, Karlos Ishac, Shilei Zhou, Imam Hossain

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

David EagerSchool of Mechanical and Mechatronic Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, P.O. Box 123, Broadway, Sydney, NSW 2007, Australia.ORCID 0000-0003-1926-7867
Karlos IshacSchool of Mechanical and Mechatronic Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, P.O. Box 123, Broadway, Sydney, NSW 2007, Australia.ORCID 0000-0001-6215-3297
Shilei ZhouSchool of Mechanical and Mechatronic Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, P.O. Box 123, Broadway, Sydney, NSW 2007, Australia.ORCID 0000-0001-5070-141X
Imam HossainSchool of Mechanical and Mechatronic Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, P.O. Box 123, Broadway, Sydney, NSW 2007, Australia.ORCID 0000-0002-1246-3454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The term knuckleball in sporting jargon is used to describe a ball that has been launched with minimal spin, resulting in a trajectory that is erratic and unpredictable. This phenomenon was first observed in baseball (where the term originated) and has since been observed in other sports. While knuckleball has long fascinated the scientific community, the bulk of research has primarily focused on knuckleball as it occurs in baseball. Following the changes in the design of the soccer ball after the 2006 World Cup, knuckleball and ball aerodynamics were exploited by soccer players. This research examined the properties of a knuckleball in the sport of soccer. We designed and evaluated a system that could reproduce the knuckleball effect on soccer balls based on previous theories and characteristics outlined in our literature review. Our system is comprised of the Adidas miCoach Smart Ball, a companion smart phone app for data collection, a ball-launching machine with programmable functions, and a video-based tracking system and Tracker motion analysis software. The results from the testing showed that our system was successfully able to produce knuckleball behaviour on the football in a highly consistent manner. This verified the dynamic models of knuckleball that we outline. While a small portion of the data showed some lateral deviations (zig-zag trajectory), this erratic and unpredictable trajectory was much smaller in magnitude when compared to examples seen in professional games. The sensor data from the miCoach app and trajectory data from the Tracker motion analysis software, showed that the knuckleballs were consistently reproduced in-line with theoretical dynamics.

Indexed as

Athletic PerformancePsychomotor PerformanceSoccerBaseballFootballAdidasball sportsfootballknuckleballsmart ballsoccersport sciencesports dynamics

Identifiers

PMID35684605
PMCPMC9182928

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.